Author: efoodprint

Big Data technology increases every day its applications and its value in multiple sectors, such as e-commerce, banking, energy sector, with the aim of modeling patterns of user behavior, segmenting customers, predicting defaults, etc etc ... In agriculture, although perhaps at a slower pace than desired, leading companies and teams are already using Big Data solutions to improve their decisions. They are using DSS (Decision Support Systems) based on Big Data for viticulture and horticulture

The first noteworthy point of the day on environmental sustainability in agriculture that was held on 31/01 in Elche was the excellent participation in the day, since all registered attended the event. Second, highlight the technical level of the speakers. Laura Fernandez de Bayer opened the meeting, presenting a summary of the agri-food challenges we face and the different initiatives that Bayer is leading to help meet these challenges. Next, Albert Duaigües from eFoodPrint, explained

eFoodPrint and Aenor co-organize a free technical workshop on sustainability in agriculture, entitled "Environmental footprints and sustainable agriculture". It will be on Thursday, January 31 in Elche and is co-organized from eFoodPrint with Aenor, and you can watch the program here. The day is aimed at both quality technicians or field and agricultural producers who want to know firsthand what are the leading companies in environmental sustainability in agriculture. Knowing how to calculate environmental footprints

How a picture is worth a thousand words, we recommend and publish the following video with the testimony of Didac Masip, technical manager of Cerima Cherries on the use of Big Data for harvest predictions. Cerima Cherries is a leading cherry producer in innovation and growth located in the Tarragona

The National Congress of Agricultural Engineers has selected eFoodPrint to provide a communication on Big Data applications in agriculture, next Monday October 15 in Cordoba. In eFoodPrint we are aware of the great effort that agricultural technicians dedicate to anticipate variables such as production volumes, maturation dates and other parameters of crop quality. In 2018 several renowned companies in the fruit and wine sector have already used crop prediction models with very positive results. The